LightGBM

license

MIT(OSI)

source

public(github.com/lightgbm-org/LightGBM)

core features withheld

no — no paid tier or commercial edition found

MIT-licensed and built from the public repository, which moved from Microsoft's GitHub account to lightgbm-org in March 2026 with the same maintainers. Nobody sells an edition of it.

• https://raw.githubusercontent.com/lightgbm-org/LightGBM/main/LICENSE recorded 2026-09-27

  LICENSE is "The MIT License (MIT)", "Copyright (c) Microsoft Corporation" and "Copyright (c) The LightGBM developers".

• https://raw.githubusercontent.com/lightgbm-org/LightGBM/main/README.md recorded 2026-09-27

  README: "This project moved from `Microsoft/LightGBM` to `lightgbm-org/LightGBM` in March 2026. This repository is still the official LightGBM source code, managed by the same maintainers (including the creator of LightGBM)."; "licensed under the terms of the MIT license"; no paid tier mentioned.

• https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lightgbm-org/LightGBM recorded 2026-09-27

  Repository record for lightgbm-org/LightGBM, not archived and not a fork, license mit, last pushed 2026-09-24.

• https://ungh.cc/repos/lightgbm-org/LightGBM/files/main recorded 2026-09-27

  Repository tree of 566 paths with no ee, enterprise, commercial or pro directory.

Measured on monthly PyPI downloads of the lightgbm package; the R package and the command-line build are not counted.

• https://pypistats.org/api/packages/lightgbm/recent recorded 2026-09-27

  last_month 18,191,249 downloads of lightgbm

LightGBM fits one kind of model, boosted trees, as XGBoost does, and competes with it on speed and memory rather than on range. Choosing between it and other learners, and tuning it, is left to other tools; its own README points to FLAML and Optuna for that.

• https://lightgbm.readthedocs.io/en/latest/Features.html recorded 2026-09-27

  Features page: histogram-based algorithm, leaf-wise tree growth, DART, GPU and distributed learning; "LightGBM supports the following applications: regression ... binary classification ... multi classification ... cross-entropy ... LambdaRank".

• https://lightgbm.readthedocs.io/en/latest/Python-API.html recorded 2026-09-27

  Python API lists LGBMModel, LGBMClassifier, LGBMRegressor, LGBMRanker and their Dask variants, all boosted-tree estimators.